Comments (2)
This is expected behaviour and is how the multilingual and the uncased models were trained. From the original repo:
We are releasing the BERT-Base and BERT-Large models from the paper. Uncased means that the text has been lowercased before WordPiece tokenization, e.g., John Smith becomes john smith. The Uncased model also strips out any accent markers.
from transformers.
Yes this is expected.
from transformers.
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